Data Analytics for Researchers
An expanded network of humans and the need to bring heterogeneous products together into a cohesive solution. An MVP for analytics with instant segmentation and a pathway to build.
Vision
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Interconnected
A suite of solutions for Sample, Survey and Analytics.
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Multi-Purpose
The analytics interface to serve reporting needs as well as survey monitoring.
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Insights Driven
Insights are fun to uncover and the UI compresses complex data into a digestible interface.
Competitive Analysis
Competitive analysis is in-depth for analytics - In addition to watching tutorials we had to get hands on with our competitors.
Survey Analysis
Reverse engineering the survey tool provided tactical data to use for design and prototyping.
Testing
We leveraged internal and external users and ran iterative qualitative usability studies to validate needs and interaction design.
Jobs to be done
Workshops with product and business stakeholders were run by design leads. Job maps and information architecture created to help understand the new landscape and build relationships in the organization.
Connected
Although there is a longer-term vision for interconnectedness, the initial launch connected apps via a single destination landing page.
Topline
This default view allows the researcher or programmer the ability to watch the answers come while addressing any problems with the survey is and/or screening.
Views
Researchers can easily change modes of viewing the data.
Segmentation
Users can easily add segments and instantly find insights in the data.
Filters
Researchers can filter by market or segment.